Techila Global Services
Senior Data Engineers with CoCo exp
Skills
18 days ago
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Important information
Contract type:
Permanent
Location:
India
Work mode:
Onsite
Published on:
7 October 2026
What they need
Hybrid Pan India 6–10 yrs Apply by Nov 6, 2026
Senior Data Engineers with CoCo exp
Join Techila's team of Salesforce experts. We build senior-led transformations that deliver measurable outcomes for clients worldwide.
Experience
6–10 yrs
Employment Type
Full-time
Openings
1 position
Apply By
Nov 6, 2026
Required Skills
snowflakeCOCOData Engineer
Job Description
Senior Data Engineers with CoCo exp/Snowflake Data Engineer with CoCo exp
Agent Data Engineer Primary Focus: Development, orchestration, and maintenance of the agentic framework that automates the engineering lifecycle. Secondary Focus: Technical execution and delivery of the Data Engineering lifecycle (Discover, Build, Test, Deploy). 10+ Years Experience Senior Data Engineers with CoCo exp Key Responsibilities: Develop and refine agentic workflows using the Snowflake CoCo (CoCo) harness. Integrate LLMs, Cortex AI models, and orchestration logic to automate discovery, impact analysis, build, and testing stages. Build "Specification Driven Development" (SDD) capabilities, creating machine-readable instructions for data products. Collaborate with Data Engineers to convert manual engineering tasks into autonomous agentic patterns. Drive technical execution for data product delivery and datasets optimized for enterprise consumption. Oversee core engineering layer components, including SQL Stored Procedures, DBT models, and DataOps.Live. Maintain code quality and minimize defects while ensuring full alignment with EDO governance standards Contribute to automated engineering lifecycles—covering ingestion through deployment—via platform-agnostic frameworks. Essential Skills: AI/GenAI Engineering: Deep experience with Cortex Skills, LLM integration, and Retrieval-Augmented Generation (RAG) concepts. Agentic Frameworks: Proficiency in building and maintaining agentic workflows (e.g., CoCo CLI, Model Context Protocol). Foundational Knowledge: Solid background in data engineering (SQL, Python) to bridge the gap between AI capabilities and data platform requirements. Core Engineering Competencies: Advanced technical mastery of SQL, DBT models, and DataOps.Live (DOL) orchestration. Platform Expertise: Comprehensive proficiency across the Snowflake ecosystem and its integrated service offerings. Data Product Lifecycle: Strategic command of multi-tier architectures (Bronze, Silver, Gold) and the management of enterprise-grade data products.
At a Glance
Work ModeHybrid
EmploymentFull-time
Experience6–10 yrs
Openings1
LocationPan India
DeadlineNov 6, 2026
[ Hiring process ]
What to expect
Four stages, typically completed within 2–3 weeks. We respect your time — every stage has a clear purpose and timely feedback.
STEP 0130 min
Screening Call
Introductory conversation with our talent team to understand your background and motivations.
STEP 0260–90 min
Technical Round
Live problem-solving with a senior architect on Salesforce design, integrations, or domain depth.
STEP 0345 min
Culture Fit
Conversation with practice leadership covering working style, ownership, and how you collaborate.
STEP 04Within 5 days
Offer
Formal offer with full compensation breakdown, start date, and onboarding plan.
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